| dc.creator | Pedro Pérez Villanueva | |
| dc.date | 2007-11 | |
| dc.date.accessioned | 2023-07-20T18:56:56Z | |
| dc.date.available | 2023-07-20T18:56:56Z | |
| dc.identifier | http://comimsa.repositorioinstitucional.mx/jspui/handle/1022/383 | |
| dc.identifier.uri | https://repositorioslatinoamericanos.uchile.cl/handle/2250/7721150 | |
| dc.description | Since in multiple linear regression, the coefficient vector estimated by Ordinary Least Square (OLS) and Ridge Regression (RR) are only estimations of the complete effect that a set of explanatory variables has over a response variable, in this paper we propose a general standard process, composed of steps to perform the decomposition of a response variable that is needed to obtain, in separate form, the direct effect, correlation effect between any pair of variables, quadratic effect and so on, that a set of explanatory variable has an over response variable in multiple linear regression. | |
| dc.format | | |
| dc.language | eng | |
| dc.relation | citation:ESTIMATION PRECISION OF MULTIPLE REGRESSION BY RESPONSE VARIABLE DE COMPOSITION Manuel R. Piña-Monarrez, Salvador A. Noriega M.2, and Pedro Pérez-Villanueva. Proceedings of the 12th Annual International Conference on Industrial Engineering Theory, Applications and Practice Cancun, Mexico November 4-7, 2007 | |
| dc.rights | info:eu-repo/semantics/openAccess | |
| dc.rights | http://creativecommons.org/licenses/by-nc-nd/4.0 | |
| dc.subject | info:eu-repo/classification/ARTÍCULO/MULTIPLE REGRESSION | |
| dc.subject | info:eu-repo/classification/cti/7 | |
| dc.subject | info:eu-repo/classification/cti/7 | |
| dc.title | ESTIMATION PRECISION OF MULTIPLE REGRESSION BY RESPONSE VARIABLE DECOMPOSITION | |
| dc.type | info:eu-repo/semantics/conferenceProceedings | |
| dc.type | info:eu-repo/semantics/publishedVersion | |
| dc.audience | students | |
| dc.audience | researchers | |
